A predictive model for tuning additives for the fabrication of porous polymeric membranes

In order to study the influence of the preparation conditions on the performance of the polyvinylidene fluoride (PVDF) flat membranes, which were prepared via phase inversion method, a set of experiments based on response surface methodology (RSM) of central composite design (CCD) for three variable...

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Main Authors: Maryam Tavakolmoghadam, Amir Mokhtare, Fatemeh Rekabdar, Majid Esmaeili, Abolfazl hossein khanli khaneghah
Format: Article
Language:English
Published: IOP Publishing 2019-01-01
Series:Materials Research Express
Subjects:
Online Access:https://doi.org/10.1088/2053-1591/ab5f6c
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author Maryam Tavakolmoghadam
Amir Mokhtare
Fatemeh Rekabdar
Majid Esmaeili
Abolfazl hossein khanli khaneghah
author_facet Maryam Tavakolmoghadam
Amir Mokhtare
Fatemeh Rekabdar
Majid Esmaeili
Abolfazl hossein khanli khaneghah
author_sort Maryam Tavakolmoghadam
collection DOAJ
description In order to study the influence of the preparation conditions on the performance of the polyvinylidene fluoride (PVDF) flat membranes, which were prepared via phase inversion method, a set of experiments based on response surface methodology (RSM) of central composite design (CCD) for three variables with five levels was performed. N,N-dimethyleacetamide (DMAc) and polyvinylpyrrolidone (PVP) were employed as solvent and pore former additive, respectively. PVDF and PVP conditions in the casting solution as well as the ethanol content in the coagulation bath were set as main manufacturing variables. Interactions of the preparation variables besides their quadratic main effects and on the desired responses namely; pure water flux, mean pore size, tensile strength, morphology and the porosity of the prepared membranes were investigated. The predicted and experimental results were found to be in good agreement (R ^2 values of 0.97, 0.95, 0.91 and 0.81 for pure water flux, mean pore size, tensile strength and porosity respectively, were obtained). The applicability of the CCD based RSM for the performance modeling of PVDF flat sheet membranes has been successfully evaluated.
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spelling doaj.art-280104e52c084c018b95f2a7fdb9442d2023-08-09T15:24:36ZengIOP PublishingMaterials Research Express2053-15912019-01-017101531210.1088/2053-1591/ab5f6cA predictive model for tuning additives for the fabrication of porous polymeric membranesMaryam Tavakolmoghadam0https://orcid.org/0000-0002-2312-5637Amir Mokhtare1Fatemeh Rekabdar2Majid Esmaeili3Abolfazl hossein khanli khaneghah4Research Institute of Petroleum Industry, Tehran, IranChemical Engineering Department, Sharif University , Tehran, IranResearch Institute of Petroleum Industry, Tehran, IranResearch Institute of Petroleum Industry, Tehran, IranSchool of Mechanical Engineering, Iran University of Science and Technology , Narmak, Tehran, IranIn order to study the influence of the preparation conditions on the performance of the polyvinylidene fluoride (PVDF) flat membranes, which were prepared via phase inversion method, a set of experiments based on response surface methodology (RSM) of central composite design (CCD) for three variables with five levels was performed. N,N-dimethyleacetamide (DMAc) and polyvinylpyrrolidone (PVP) were employed as solvent and pore former additive, respectively. PVDF and PVP conditions in the casting solution as well as the ethanol content in the coagulation bath were set as main manufacturing variables. Interactions of the preparation variables besides their quadratic main effects and on the desired responses namely; pure water flux, mean pore size, tensile strength, morphology and the porosity of the prepared membranes were investigated. The predicted and experimental results were found to be in good agreement (R ^2 values of 0.97, 0.95, 0.91 and 0.81 for pure water flux, mean pore size, tensile strength and porosity respectively, were obtained). The applicability of the CCD based RSM for the performance modeling of PVDF flat sheet membranes has been successfully evaluated.https://doi.org/10.1088/2053-1591/ab5f6cporous membranesPVDFultrafiltrationresponse surface methodology
spellingShingle Maryam Tavakolmoghadam
Amir Mokhtare
Fatemeh Rekabdar
Majid Esmaeili
Abolfazl hossein khanli khaneghah
A predictive model for tuning additives for the fabrication of porous polymeric membranes
Materials Research Express
porous membranes
PVDF
ultrafiltration
response surface methodology
title A predictive model for tuning additives for the fabrication of porous polymeric membranes
title_full A predictive model for tuning additives for the fabrication of porous polymeric membranes
title_fullStr A predictive model for tuning additives for the fabrication of porous polymeric membranes
title_full_unstemmed A predictive model for tuning additives for the fabrication of porous polymeric membranes
title_short A predictive model for tuning additives for the fabrication of porous polymeric membranes
title_sort predictive model for tuning additives for the fabrication of porous polymeric membranes
topic porous membranes
PVDF
ultrafiltration
response surface methodology
url https://doi.org/10.1088/2053-1591/ab5f6c
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